Software development with Python

Python can be an excellent choice to begin the journey of coding as one of the biggest hurdles for aspiring ... Show more
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Python Programming with DSA & SQL.png

Python needs no introduction as it is a very popular programming language today and widely used in programming, web development, Data Science and analytics It has surpassed Java as the top programming language. For new learners Python can be an excellent choice to begin the journey of coding as one of the biggest hurdles for aspiring coders is the difficult task of learning a new language that looks nothing like what they’re used to reading and writing. However, Python uses English syntax and was designed to be easy to read — which makes it more accessible to first-time coders than many other languages.

A Data Structure is a named storage location that can be used to store and organize data such that the data can be processed and retrieved in an efficient manner.

SQL stands for Structured Query Language. SQL is used to communicate with the Database in Relational Database Management system. Using SQL the user can make updates to the Database, retrieve desired information from the Database and also manipulate and organize data in the Database.

Why should you enroll for this course?
Knowledge of Data Structures helps the programmer to build efficient and optimized software program.

  • Learning Data Structures helps the programmer select the correct Data Structure based upon the set of operations the programmer intends to perform on the data.
  • SQL is used to extract data from large data sets in programming languages.
  • The demand for Python Programming is increasing dramatically every year as it provides a great number of job opportunities and also promises high growth in salary.
  • Python is highly versatile and can be used for both small and complex tasks. It is used across many different industries — from its more common applications in data science and software engineering to environments like mobile app development, artificial intelligence, machine learning, etc.
  • Due to its simple syntax Python is preferred for Machine Learning and also as it supports several machine learning libraries.
  • Python also provides a large collection of frameworks that helps developers with web application development.
  •  Another important aspect of Python’s versatility i.e its ability to run with other programming languages. It also offers cross-platform functionality, meaning that it will function properly whether you’re working with Windows, Linux, or macOS.
  • Python supports several built-in testing frameworks that help in debugging and speeding up workflows
  • Python has a massive community that can help you with programming errors or issues with the software.

For those who want to pursue jobs in the fields of data analytics and data science, learning Python is an excellent and timely choice.

Introduction to Python
Functions
Datatypes
Files
Object & Class
Python Libraries
Object-Oriented Programming
Data Structures Algorithms
SQL
1. What prerequisites do I need to enroll in the Software Development with Python Programming course?
The course is designed for beginners, and no prior programming experience is required. However, a basic understanding of computer science concepts and familiarity with general software usage would be beneficial.
2. What is Python's role in software development?
Python is a versatile programming language widely used in software development for various applications, including web development, data analysis, scientific computing, artificial intelligence, and more. Its clear syntax and extensive libraries make it suitable for rapid development and prototyping.
3. How can you manage dependencies in a Python project?
Dependency management in Python is often done using tools like "pip" and "virtual" (or "venv"). Pip helps install and manage packages, while virtual environments create isolated environments for projects, preventing conflicts between different project dependencies.
4. What is version control, and how can it benefit Python developers?
Version control, like Git, allows developers to track changes to their codebase, collaborate effectively, and revert to previous versions if needed. It's crucial for team collaboration, code review, and maintaining a history of project changes.
5. Explain the concept of "Object-Oriented Programming" (OOP) in Python.
Object-oriented programming is a programming paradigm where code is organized around objects, which represent real-world entities and consist of attributes (data) and methods (functions). In Python, classes define the blueprint for objects, and instances are created based on these classes.
6. How can automated testing improve the quality of Python software?
Automated testing involves writing test cases that verify whether different parts of your software work as expected. In Python, tools like "unittest" and "pytest" help set up and run tests automatically, ensuring that changes to the codebase don't introduce unintended bugs and maintaining software reliability.
Course details
Duration 72 hours
Level Beginner
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Working hours

Monday 9:30 am - 7.30 pm
Tuesday 9:30 am - 7.30 pm
Wednesday 9:30 am - 7.30 pm
Thursday 9:30 am - 7.30 pm
Friday 9:30 am - 7.30 pm
Saturday 10:00 am - 7.00 pm
Sunday 10:00 am - 7.00 pm